Triple
T15490061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool Department |
E378657
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Mbandza-Nkanga
Mbandza-Nkanga is a town located in the Pool Department of the Republic of the Congo.
|
E1160831
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mbandza-Nkanga | Statement: [Pool Department, containsTown, Mbandza-Nkanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbandza-Nkanga Context triple: [Pool Department, containsTown, Mbandza-Nkanga]
-
A.
Mbanza-Ngungu
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
-
B.
Nalikwanda
Nalikwanda is the grand royal barge of the Lozi king in Zambia, famed for its striking black-and-white design and central role in the annual Kuomboka ceremony.
-
C.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
-
D.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
E.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mbandza-Nkanga Triple: [Pool Department, containsTown, Mbandza-Nkanga]
Generated description
Mbandza-Nkanga is a town located in the Pool Department of the Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbandza-Nkanga Target entity description: Mbandza-Nkanga is a town located in the Pool Department of the Republic of the Congo.
-
A.
Mbanza-Ngungu
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
-
B.
Nalikwanda
Nalikwanda is the grand royal barge of the Lozi king in Zambia, famed for its striking black-and-white design and central role in the annual Kuomboka ceremony.
-
C.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
-
D.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
E.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:48 a.m.